It is a web-based AI-Edtech platform for micro-learning and skill enhancement, meeting the demand for flexible, scalable learning solutions. The platform enables students to browse and purchase courses with flat fees and time-limited access (60-90 days).

The system ensures streamlined course monetization with paywalls and provides admins control over pricing, categories, and course management. The AI-powered assistant, governed by a token-based model, enhances user engagement while offering premium upsell opportunities for additional support.

This solution is designed to capitalize on the growing EdTech market by offering personalized, AI-driven learning and automated management processes, with opportunities for revenue expansion through certifications, analytics, and corporate training solutions.

The app aims to help individuals with sleep issues like difficulty falling asleep, waking up too early, or trouble resuming sleep by analyzing sleep sounds through the device’s microphone. It will leverage AI to classify sleep sounds, detect snoring, and assess sleep apnea risk, providing personalized insights and recommendations. Using AI-driven analysis, the app will offer real-time reports and track sleep patterns, all while functioning offline. Additional features include meditation videos, sleep tracking, and relaxation tools to improve sleep hygiene.

This project is a Web-based E-Prescribing & Document Processing Platform designed for healthcare providers and organizations to manage electronic prescriptions, sales orders, and documentation efficiently. The platform integrates with Brightree via API for seamless data synchronization, ensuring automated handling of product catalogs, patient records, and order tracking. A robust AI-powered document ingestion system processes medical faxes, extracts key details using OCR, and categorizes them for compliance checks. The system enhances efficiency through automated validation, real-time chat support, and AI-driven data extraction while ensuring secure handling of sensitive medical data.

An AI-powered Quality Assurance (QA) tool developed to enhance the customer support experience by automatically analysing customer-agent conversations( both actual human agents as well as agentic bots too). It identifies policy violations, customer sentiment, and agent performance insights in real-time. Platform integrates with CRMs and uses machine learning (ML) and natural language processing (NLP) to offer actionable insights for businesses seeking to improve service quality and operational efficiency. This will help organisations to streamline support analysis, improve agent training, and monitor customer satisfaction metrics. 

This project is focused on building a mobile-responsive, AI-powered service management platform for a US-based vehicle maintenance service center. The platform will provide customers with personalized, mileage-based service recommendations, streamline appointment scheduling, and ensure seamless data synchronization through integration with X-Time, a leading automotive service software.

Develop an AI-powered travel platform that integrates real-time travel APIs for flights, hotels, and activities, providing users with personalized itineraries and seamless end-to-end trip booking via a web-based application (future expansion to mobile).